AI / ML Engineering Tech Lead

Connect to your opportunity Data requirements gathering and client engagement. Being able to engage with the client to understand their pain points and requirements. Communicate solutions/propositions effectively back to client/team Data analysis and pre-processing Collect and clean large datasets for machine learning projects. Explore data to identify patterns, anomalies, and potential insights. Pre-process data, including feature engineering and normalization. Algorithm Development Design, develop, and implement machine learning algorithms. Experience with various machine learning models and techniques. Optimize algorithms for accuracy, efficiency, and scalability. Model Training and Evaluation Train machine learning models using collected data. Perform testing to validate models Evaluate model performance using appropriate metrics and techniques. Fine-tune models to improve predictive accuracy. Data Visualization Create informative data visualizations to communicate insights effectively Familiarity with visualization libraries like Matplotlib, Seaborn, or data visualization software s like Tableau, Power BI. Connect to your skills and professional experience You're a Natural Problem Solver: Collaboration is at the core of our culture, and we're seeking someone who excels in teamwork and brings out the best in their colleagues. You'll be a brilliant listener, promoting a culture of innovation and knowledge sharing. At Deloitte, we believe in giving our AI/ML Engineers the autonomy they need to excel while upholding our high standards, integrity, and culture. 7+ Years of experience in AI/ML field. Essentials: Technical Expertise: Mastery in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries. Data proficiency: Proficient in data collection, pre-processing, and analysis. Model Mastery: Proven experience in developing and fine-tuning machine learning models. Desirables: Domain Knowledge: Familiarity with deploying ML frameworks in industry Research Enthusiast: A strong interest in staying abreast of the latest AI/ML advancements. Project Leadership: Previous experience leading AI/ML initiatives. Diversity is our strength, and we celebrate the individuality of our team members. At Deloitte, we embrace differences and encourage everyone to be their authentic selves. We believe that it's these differences that keep us strong, successful, and diverse. Join us and be a part of a team that values your uniqueness! Connect to your service line - Technology and Transformation Distinctive thinking, deep expertise, and collaborative working. That s what connects us. That s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we ll make an impact that matters. Personal independence Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further details as you progress through the recruitment process.

Desired Candidate Profile

Collaboration is at the core of our culture, and we're seeking someone who excels in teamwork and brings out the best in their colleagues. You'll be a brilliant listener, promoting a culture of innovation and knowledge sharing. At Deloitte, we believe in giving our AI/ML Engineers the autonomy they need to excel while upholding our high standards, integrity, and culture. 7+ Years of experience in AI/ML field. Essentials: Technical Expertise: Mastery in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries. Data proficiency: Proficient in data collection, pre-processing, and analysis. Model Mastery: Proven experience in developing and fine-tuning machine learning models. Desirables: Domain Knowledge: Familiarity with deploying ML frameworks in industry Research Enthusiast: A strong interest in staying abreast of the latest AI/ML advancements. Project Leadership: Previous experience leading AI/ML initiatives.